In this role, you will architect and operate a cloud-native platform that powers intelligent, autonomous AI applications across a general enterprise. You’ll own the platform strategy, design multi-tenant Kubernetes environments, and drive end-to-end delivery with a focus on security, reliability, and scalable operations. You’ll mentor engineers and collaborate with cross-functional teams to turn complex AI and MLOps needs into reusable platform patterns. This is a mission-driven opportunity to shape how agentic AI drives impact in healthcare and life sciences. opportunity to impact life-changing R&D; culture of inclusion and belonging career development across a global company Own the platform architecture, technical roadmap and ADRs within the broader agentic AI strategy Design, build and operate the multi-tenant Kubernetes platform using Amazon EKS, Terraform, Helm, Kustomize, Argo CD and Argo Workflows Build repeatable onboarding, promotion, recovery and decommissioning capabilities through Azure DevOps and GitOps Implement identity and tenant isolation across OIDC,



Kubernetes RBAC and impersonation, AWS workload identity and secrets management Design secure integrations with models, tools, MCP/A2A services and other enterprise platforms Own operational readiness, including SLOs, telemetry, agent and LLM tracing, evaluation, capacity, cost, incident response, upgrades, backup/restore and rollback Develop and review production Python, Terraform modules, Helm charts and pipeline templates Establish technical standards, documentation and reusable platform patterns, and mentor other engineers University degree in Computer Science, Engineering, or equivalent 8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scale Experience in architecting complex cloud-native solutions and in guiding teams in their implementation Hands-on experience designing and operating production Kubernetes platforms, preferably Amazon E

📌 Agentic Ai Platform Architect (Distrito del Ensanche)
🏢 knowmad Mood
📍 Distrito del Ensanche